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Will This Online Shopping Session Succeed? Predicting Customer's Purchase Intention Using Embeddings., , , and . CIKM, page 2873-2882. ACM, (2022)TIDAQL - A Query Language Enabling on-Line Analytical Processing of Time Interval Data., , , , and . ICEIS (1), page 54-66. SciTePress, (2015)AUDIME: Augmented disaster medicine., , , , , and . HealthCom, page 342-345. IEEE, (2015)A Filter is Better Than None: Improving Deep Learning-Based Product Recommendation Models by Using a User Preference Filter., , , , and . HPCC/DSS/SmartCity/DependSys, page 1278-1285. IEEE, (2021)When to Message: Investigating User Response Prediction with Machine Learning for Advertisement Emails., , , , and . AI4I, page 25-29. IEEE, (2021)Evaluating a Session-based Recommender System using Prod2vec in a Commercial Application., , , , and . ICEIS (1), page 610-617. SCITEPRESS, (2021)It's Not Always about Wide and Deep Models: Click-Through Rate Prediction with a Customer Behavior-Embedding Representation., , , and . J. Theor. Appl. Electron. Commer. Res., 19 (1): 135-151 (March 2024)Analyzing Time Interval Data - Introducing an Information System for Time Interval Data Analysis. Springer Vieweg, (2016)Bitmap-Based On-line Analytical Processing of Time Interval Data., , , , and . ITNG, page 20-26. IEEE Computer Society, (2015)Querying Time Interval Data., , , , and . ICEIS (Revised Selected Papers), volume 241 of Lecture Notes in Business Information Processing, page 45-68. Springer, (2015)